similar to: New package: MatchIt

Zelig: Everyone's Statistical Software Kosuke Imai, Gary King and Olivia Lau Version 1.0 (Available at http://gking.harvard.edu/zelig) A growing proportion of statisticians and methodologists from many disciplines are converging on R, a powerful statistics package and programming language. As an open source project, R is freely

Dear R users, I am trying to estimate to estimate the average treatmen effect on the treated (ATT) using first the MatchIt software to weight the data set and, after this, the Zelig software as shown in Ho et al. (2007). See here for an explanation of how to apply this technique in R: http://imai.princeton.edu/research/files/matchit.pdf I encounter a slight problem when I apply the weights that

On the topic of when to use "suggests" and "depends" and on R version requirements. I have cc'd this message to R-devel because I am curious about what senior developpers think about these issues. The problem arises because we are using some functions from the package "matchit" in a new version of our package "portfolio". We are listing the matchit in

Dear all, Does anybody know why the following code returns an error message? >library(MatchIt) >library(Zelig) >data(lalonde) > >m.out1<-matchit(treat~age+educ+black+hispan+nodegree+married +re74+re75, method="full", data=lalonde) > >z.out1<-zelig(re78~age+educ+black+hispan+nodegree+married+re74+re75, data=match.data(m.out1, "control"),

Is anybody working on a way to standardize the creation of "newdata" objects for predict methods? When using predict, I find it difficult/tedious to create newdata data frames when there are many variables. It is necessary to set all variables at the mean/mode/median, and then for some variables of interest, one has to insert values for which predictions are desired. I was at a

Joerg Jaspert, one of the ftpmasters / archive maintainers within Debian, today posted a new list of 'Sections' to debian-devel-announce (see eg here http://www.nabble.com/forum/ViewPost.jtp?post=22524830&framed=y ) This now includes a new Section: gnu-r Everything about GNU R, a statistical computation and graphics system which

install.packages works for Linux because the directory structure is not version dependent, as it is for the Windows download. That should be fixed as soon as my sys admin consents to install R 1.9.0 so we can do the cross compile. Of course, you are right, Martin and Peter, that Zelig should be on CRAN proper. We just need to write a few .Rd files to be compliant with R check, and change our

Dear all, Kosuke Imai and I announce the new package "list," which is now available on CRAN. list: Multivariate Statistical Analysis for the Item Count Technique List allows researchers to conduct multivariate statistical analyses with data from the item count technique for sensitive survey questions. This survey methodology, also known as the list experiment or the unmatched count

Dear all, Kosuke Imai and I announce the new package "list," which is now available on CRAN. list: Multivariate Statistical Analysis for the Item Count Technique List allows researchers to conduct multivariate statistical analyses with data from the item count technique for sensitive survey questions. This survey methodology, also known as the list experiment or the unmatched count

Hi there dear R users! Anyone knows why does matchit function returns error whenever the "hull" option is used (either "hull.both", "hull.control" or "hull.treat"). Things work well with all the rest of discard options. This is the error msg. >m.out.base <- matchit(formula=f, data=d, method=m, discard="hull.control") [1]

Hi all, We would like to announce the release of our software, which is now available through CRAN. ===================================================================== eco: R Package for Fitting Bayesian Models of Ecological Inference in 2 by 2 Tables Abstract: eco is a publicly available R package that fits parametric and nonparametric Bayesian models for ecological inference in 2 by 2

Hi all, We would like to announce the release of our software, which is now available through CRAN. ===================================================================== eco: R Package for Fitting Bayesian Models of Ecological Inference in 2 by 2 Tables Abstract: eco is a publicly available R package that fits parametric and nonparametric Bayesian models for ecological inference in 2 by 2

Hi, I'm writing an R package using the C code i've written. I'm wondering if anyone knows an easy way to calculate an inverse and cholesky factor of a matrix using the Fortran/C library of R: and how to call them from C. My code is based on the Numerical Reciepe code, and I'm trying to use something that is already in R. Thanks for your help in advance, Kosuke

Hi there, I'm wondering what Zelig in the following situation (code below) actually does. Is this considered as a so called regression adjustment after the propensity score matching? library(MatchIt) library(Zelig) data(lalonde) re78 represents the outcome variable 1. With Zelig m.out <- matchit(treat ~ age + educ + black + hispan + married + nodegree + re74 + re75, data = lalonde)

Hi, What Lapack routine(s) should I use to calculate the determinant of a symmetric matrix of real numbers? I would appreciate any guidance on this issue. Thanks, Kosuke --------------------------------------------------------- Kosuke Imai Office: Corwin Hall 041 Assistant Professor Phone: 609-258-6601 (Direct) Department of Politics Fax: 609-258-1110 (Department)

Hello, I am trying to use R for propensity score matching in SPSS.? I have version 21 of SPSS and I downloaded R 2.14.2 as directed as well as the R Essentials plug-in.? I have run a test for R and it appears to be running correctly.? I then downloaded psmatching3 and have tried to use the PS matching dialog in SPSS.? However, I continue to run into problems as SPSS reports that there is no

Folks, I have a strange situation where: library(MatchIt) f <- function(d) { m <- matchit(treatment ~ lsales + major.industry, data=d, method="nearest", discard="hull.treat") treatmentfirms <- match.data(m, group="treat") list(m=m, treatmentfirms=treatmentfirms) } res <- f(ex) does not work at the match.data() call,

Hi, I want to use R_qsort_int_I() in my C function, but getting the following error. It looks like there is a conflict between Rmath.h, which I use to generate random numbers, and R_ext/Boolean.h I would appreciate any help to fix this problem. gcc -ansi -g -o Gibbs gibbs.c subroutines.o rand.o vector.o -lm -lRmath -llapack -lblas -lfrtbegin -lg2c -lm -shared-libgcc In file included from

Hello, I am writing as an administrator, not as an R user, so forgive me if I am not completely knowledgeable about R. I have a user who is creating an R package for windows from a Linux environment using the crossbuild environment by Jun Yan and A.J. Rossini. The packages she generated worked fine until she tried to install in R 1.9.1 for Windows. Now when she installs with

hello all I am using the R package Zelig for some tobit regression with robust standard errors. I have got R version 2.9.2 (2009-08-24) and Zelig Version: 3.4-5 when i do demo(robust) It ends like this way data(coalition) > # Fit the model with robust standard error > user.prompt() Press <return> to continue: > z.out3 <- zelig(Surv(duration, ciep12) ~ polar + numst2 +